Job Postings

Professors Sara Mostafavi (course coordinator) and Paul Pavlidis are seeking teaching assistants for STAT 540,cross-listed as BIOF 540 and GSAT 540, for January - April 2017. Information on the course (e.g., lectures) can be found at this URL, with key facts stated below:

Research Highlight

Statistical learning, sometimes called machine learning, is becoming ever more important as a component of data science, and department members have had active research in this area for more than a decade. Statistical learning methods include classification and regression (supervised learning) and clustering (unsupervised learning). Current research topics of faculty members and their graduate students include construction of phylogenetic trees in evolution, ensembles of models and sparse clustering. Applications include the search for novel pharmaceutical drugs and detection of biogenic patterns.

Professor Jiahua Chen has been honoured by the International Chinese Statistical Association, receiving the ICSA’s Distinguished Achievement Award for his outstanding contributions to the theory of statistics, particularly in the design of...

The World Health Organization (WHO) has recently announced results of a study carried out by an international team of researchers led by Gavin Shaddick of the University of Bath and including Jim Zidek. Professor Shaddick is a long-time...